IVF Success Prediction: Will It Work for You?

Shady Grove Fertility’s PRISM model uses patient-specific factors like age and ovarian reserve to predict IVF success. With data from 15,000 cycles, it offers personalized success rates for each patient, including risks like egg retrieval challenges and live birth probabilities.

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Key Takeaways

IVF Success Prediction Factors: Age, Ovarian Reserve, and BMI

Shady Grove Fertility’s PRISM model analyzes patient-specific data, including female age, ovarian reserve, BMI, semen analysis, and uterine health to calculate IVF success probabilities. These factors are proven independent predictors of outcomes.

PRISM Model: Customized Predictions Using Internal Data

Unlike generic national data, PRISM leverages Shady Grove’s 15,000+ IVF cycles of internal data (2009–present) to build lab-specific success rates. This tailored approach accounts for lab protocols and technological capabilities unique to SGF.

Beyond Pregnancy: PRISM Addresses IVF Risks and Outcomes

The model predicts risks such as low egg retrieval, medication requirements, embryo viability, and surplus embryos for freezing. It also estimates live birth likelihood, helping patients plan for future cycles.

PRISM Updates with Medical Advancements and Real-Time Data

Shady Grove’s full-time research team continuously refines the PRISM model to reflect evolving technologies and new data. This ensures predictions remain accurate as IVF success rates improve over time.

Age-Dependent IVF Success Rates and Treatment Precision

While PRISM cannot guarantee outcomes, it emphasizes the role of female age in IVF success, especially when using a patient’s own eggs. SGF’s 65,000+ ART cycles of experience allow precise protocol adjustments to maximize effectiveness.

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